Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse

By Judith A. Blake, Janan T. Eppig, J. Kadin, J. Richardson, Cynthia L. Smith, Carol J. Bult, The Mouse Genome Database Group. 2016

267 citations recorded by the source corpus.

The Mouse Genome Database (MGD: http://www.informatics.jax.org) is the primary community data resource for the laboratory mouse. It provides a highly integrated and highly curated system offering a comprehensive view of current knowledge about mouse genes, genetic markers and genomic features as well as the associations of those features with sequence, phenotypes, functional and comparative information, and their relationships to human diseases. MGD continues to enhance access to these data, to extend the scope of data content and visualizations, and to provide infrastructure and user support that ensures effective and efficient use of MGD in the advancement of scientific knowledge. Here, we report on recent enhancements made to the resource and new features.

Subfields: Molecular Biology

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Citations in the corpus

SCENIC: Single-cell regulatory network inference and clustering (2017, methodology): “As “true” TFs for the validation (Table S2), we took gene sets from mouse genome informatics (MGI) mammalial phenotype database (sample terms: Finally, the precision and recall for each method were calculated according to the TFs identified across all the cell types (e.g. joining all cell types, not”
Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse (2017, background): “The Mouse Genome Database (MGD) is the primary community knowledgebase for mouse phenotype and gene function and mouse models of human disease (9).”
An accurate and robust imputation method scImpute for single-cell RNA-seq data (2018, methodology): “We study 70 genes associated with the GO term “ endoderm development ” 36 and found that a subset of these genes that are likely affected by dropout events show higher expression and better consistency with the bulk data after the imputation by scImpute (Fig.”
The Human Transcription Factors. (2018, unknown): “%) of the 1,198 one-to-one human/ mouse TF orthologs in mouse (Blake et al., 2017), often yielding phenotypes that are consistent with the TF’s known function in human.”